Effective visiting schedule generation in a tourist recommender system using hadoop

Abstract

E-commerce has changed the way which the users select and purchase items. Most of the e-commerce applications deployed in the Web today use recommender systems to recommend items to the online users based on their earlier purchases. The tourist recommender systems discussed in the literature, so far, cover, regarding the best routes from one city to another city by including the tourist spots and beautiful scenery-based sites and the destination tourist spots by accepting images or description of the tourist spots as input. In this paper, we have proposed the architecture for a tourist recommender system and then a novel scheduling algorithm for preparing the visit schedules in a city for the tourists based on user requirements and we have implemented the same using Hadoop framework.